Straight answers, before you engage.

Traditional dev agencies forward resumes or build generic spec work without skin in the game. Techdome is a venture studio. We fund and build our own software ventures (Sparrow, JustInterview.ai, Aether Voice, ARC) using the exact same engineering pods and Blueprint we deploy for client ventures. We co-own technical risk and build for long-term production survival.

We respect our client founders and enterprise partners. Many of our ventures operate under strict non-disclosure agreements or are actively raising capital in stealth. We let defensible architectural outcomes, verifiable platform statistics ($300K+ on Upwork with 100% Job Success), and our own shipped products serve as our proof.

Our 110-person engineering team is internal and screened on our own JustInterview.ai platform. That lets us assemble a dedicated pod and embed it into your Slack and sprint cycle in under 2 weeks. If any engineer is mismatched, a guaranteed 2-week replacement policy applies.

We offer two commercial structures. First, Dedicated Engineering Pods on a transparent monthly retainer. Second, Fixed-Scope Milestone Sprints starting from $8,000 for rapid prototypes, GraphRAG builds, and CRM migrations. We provide fixed timelines and zero scope creep.

All intellectual property, code repositories, and infrastructure provisioned during client engagements belong 100% to the client upon milestone payment. We contract under standard US (Delaware) and UAE entities and build HIPAA and SOC2-compliant architectures from day zero.

You speak directly with Rahul Joshi or a principal systems architect. We review your current codebase, architectural bottlenecks, timeline, and compliance needs. You leave with a concrete technical assessment, recommended pod shape, and preliminary sprint scope — zero sales pitch.

Choose a partner that builds their own products, which proves technical rigor. Look for transparent milestone pricing without open-ended hourly billing and a guaranteed 4–6 hours of daily US/EU overlap. Ask for verified third-party records, such as $300K+ with 100% Job Success on Upwork.

A full 0-to-1 build runs on our 5-step Blueprint and typically reaches production in about eight weeks — architecture and compliance in Week 1, through to DNS cutover and telemetry at launch. A Fixed-Scope Sprint against a narrower brief is 2–4 weeks. Either way, every stage carries a locked deliverable and a stated window before work starts.

We offer Fixed-Scope Milestone Sprints starting from $8,000 (2 to 4 weeks with locked deliverable and duration) or Dedicated Engineering Pods on monthly retainers. We never charge open-ended hourly rates or add surprise billing tiers.

Rather than hunting for a solo technical co-founder for 6+ months and giving away 20–40% equity upfront, Techdome deploys a full senior pod (Architect + Senior Full-Stack Developers + QA) from Day 0, delivering production code with 100% IP ownership for the founder.

We architect day-zero compliance for HIPAA & BAA execution, PCI-DSS payment tokenization, SOC2 Type II audit logging, and WCAG 2.2 AA accessibility so you can sell to healthcare, fintech, and enterprise clients without painful code rewrites.

You own 100% of the code, repositories, cloud infrastructure, and intellectual property upon milestone payment. We contract under standard US Delaware C-Corp and Dubai UAE entities with strict mutual NDAs.

A minimum viable product: the essential features that let real users complete one job and pay for it. We cut the scope against your business goals, build it in weekly demos, and release it to early adopters. Then you gather feedback and decide what to build next. An MVP tests market demand. It does not replace market research.

Yes, as CTO-level guidance built into every Studio engagement rather than a separate retainer. Your pod includes an architect alongside senior full-stack developers and a QA lead. From Week 1 the architect guides the technical decisions: the data model, technology choices, security and compliance design, and the delivery plan. You review commits every week. If you later hire a fractional CTO or a full-time CTO, they inherit a documented architecture, a clean repository and your full IP.

Both. Startups use the Studio route to take a product idea from blank repo to first paying customer in about eight weeks. Larger teams use the same senior pods for custom builds, integrations and migrations. The process and the team are the same either way.

Tools like Zapier or Make charge per task, so the bill grows with your volume. An n8n automation agency like Techdome deploys n8n inside your own private VPC, so you pay a flat server cost however many triggers and webhooks you run. Your customer data also stays inside your own environment, which makes HIPAA and SOC 2 reviews simpler.

Techdome is ranked #1 for n8n expertise worldwide. If you need an n8n developer for hire, our senior TypeScript and Python engineers join your sprint within 2 weeks. Each one is screened on live system design and coding tests on JustInterview.ai. They can build custom n8n nodes, overlap with your working day for 4–6 hours, and are covered by a 14-day replacement guarantee.

Our self-hosted n8n Docker Kubernetes deployment includes container orchestration, a multi-worker Redis queue, and a tuned PostgreSQL database, all inside your own VPC. We add dead-letter queues and retries so webhooks are held and replayed, not dropped, when a third-party API rate-limits or goes down.

As an AI agent development company, we build custom AI agents on Claude, GPT-4o and Gemini models. Our AI voice agent development covers live telephony over Twilio, Retell AI and LiveKit. Voice agents respond in under 450ms, handle interruptions mid-sentence, call your CRM during the conversation, and run around the clock.

Standard vector search often makes things up when a question links several documents. Our GraphRAG implementation combines vector embeddings (pgvector, Pinecone) with a knowledge graph on Apache AGE or Neo4j. It extracts entities and relationships, and builds community summaries, so the AI system can follow the links between documents. Our production GraphRAG engine reached 96.4% retrieval accuracy.

Our n8n consulting services and workflow automation consulting begin with an audit that maps where manual work actually happens, before anything is automated. We then design the event-driven flow and plan the migration from Zapier or Make. We build custom nodes where the built-in ones fall short, tune queue throughput, and write the governance documents your compliance team will ask for.

We deliver business process automation services for mortgage lending, insurance and B2B SaaS teams, among others. Typical workflows automated include reading borrower documents such as tax returns, W-2s and bank statements. Others alert sales reps within 30 seconds of a new enquiry, or answer quote requests over WhatsApp.

Every production workflow includes a dead-letter queue, Redis worker concurrency and exponential backoff retries. If a CRM or carrier API is down, the workflow parks pending jobs in persistent storage and replays them when the API recovers. Execution logs are searchable, and critical failures alert your team in Slack or PagerDuty.

n8n custom nodes are extensions written in TypeScript with the official node SDK. n8n ships with hundreds of connectors, but you need a custom node when you must connect an internal service, a legacy database, or a system with unusual authentication. We build them with tests and package them into your Docker deployment.

We build inside your own cloud, so your data stays with you. Every agent has a human review step before a sensitive action. We also use the same patterns in our own products, such as Aether Voice.

AI and automation work runs as fixed-scope sprints starting from $8,000, usually 2 to 4 weeks, with the deliverable and the dates agreed up front. Larger programmes run on a dedicated pod with a monthly retainer. We do not bill open-ended hourly rates.

Yes, where the job needs them. Our computer vision work uses deep learning models built with TensorFlow and PyTorch, alongside OpenCV and YOLO, for example to score quality and safety on a factory line.